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\author{221330100 WLQ }
\title{神经网络模型习题 }

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\begin{document}

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\begin{enumerate}

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\item  %1
画出神经网络模型的各种激活函数的图像示意图。

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解答：







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\item  %2
单层感知器和逻辑回归的区别是什么？

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解答：







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\item  %3
已知一些飞蠓的触角长和翅长，以及它们的类别。

\begin{table}[ht]\centering 
\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|}\hline 
Af类9只 & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 \\ \hline
触角长 & 1.24 & 1.36 & 1.38 & 1.38 & 1.38 & 1.40 & 1.48 & 1.54 & 1.56 \\ \hline 
翅长 & 1.72 & 1.74 & 1.64 & 1.82 & 1.90 & 1.70 & 1.82 & 1.82 & 2.08 \\ \hline \hline 
Apf类6只 & 1 & 2 & 3 & 4 & 5 & 6 &  &  & \\ \hline 
触角长 & 1.14 & 1.18 & 1.20 & 1.26 & 1.28 & 1.30 & & &   \\ \hline 
翅长 & 1.78 & 1.96 & 1.86 & 2.00 & 2.00 & 1.96 & & &  \\ \hline 
\end{tabular}
\end{table}

现有3只新的飞蠓，测得触角长和翼长。使用神经网络模型对新测的三只飞蠓进行分类。

\begin{table}[ht]\centering 
\begin{tabular}{|c|c|c|c|} \hline 
触角长 & 1.24 & 1.29 & 1.43 \\ \hline 
翅长 & 1.80 & 1.81 & 2.03 \\ \hline
类别 &&& \\ \hline 
\end{tabular}
\end{table}

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解答：







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